class_docstr: A wrapper that facilitates the use of `TabularSampler` for distributed sampling.
docstr: A getter that returns the underlying tabular object.
  
  Returns
  -------
  The tabular sampler object that is used in the process.
docstr_tok: ["A","getter","that","returns","the","underlying","tabular","object",".","Returns","--","--","--","-","The","tabular","sampler","object","that","is","used","in","the","process","."]
code: def _get_sampler(self) -> TabularSampler:
      """
      A getter that returns the underlying tabular object.
  
      Returns
      -------
      The tabular sampler object that is used in the process.
      """
      return self.sampler
  
imports: import logging
  from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union
  import numpy
  import ray
  from alibi.api.interfaces import Explanation
  from alibi.utils.discretizer import Discretizer
  from alibi.utils.mapping import ohe_to_ord
  from .anchor_base import AnchorBaseBeam
  from .anchor_tabular import AnchorTabular, TabularSampler
  from alibi.utils.distributed import ActorPool
  from functools import partial
label_desc: Use image node_id 5 for calling the RemoteSampler obj's underlying member method code with example usage: obj._get_sampler() and returns: self